Package: bamlss
Version: 1.0-1
Date: 2018-10-12
Title: Bayesian Additive Models for Location Scale and Shape (and
        Beyond)
Authors@R: c(person(given = "Nikolaus", family = "Umlauf", role = c("aut", "cre"), email = "Nikolaus.Umlauf@uibk.ac.at"),
  person(given = "Nadja", family = "Klein", role = "aut", email = "nklein@uni-goettingen.de"),
  person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org",
         comment = c(ORCID = "0000-0003-0918-3766")),
  person(given = "Meike", family = "Koehler", role = "aut", email = "Meike.Koehler@helmholtz-muenchen.de"),
  person(given = "Thorsten", family = "Simon", role = "ctb", email = "thorsten.simon@uibk.ac.at"), person(given = "Stanislaus", family = "Stadlmann", role = "ctb", email = "stadlmann@uni-goettingen.de"))
Description: Infrastructure for estimating probabilistic distributional regression models in a Bayesian framework.
  The distribution parameters may capture location, scale, shape, etc. and every parameter may depend
  on complex additive terms (fixed, random, smooth, spatial, etc.) similar to a generalized additive model.
  The conceptual and computational framework is introduced in Umlauf, Klein, Zeileis (2017)
  <doi:10.1080/10618600.2017.1407325>.
Depends: R (>= 3.2.3), coda, colorspace, mgcv
Imports: Formula, MBA, mvtnorm, sp, Matrix, survival, methods, parallel
Suggests: akima, bit, fields, gamlss, geoR, rjags, BayesX, BayesXsrc,
        mapdata, maps, maptools, raster, spatstat, spdep, zoo, keras,
        splines2, sdPrior, glogis, glmnet, scoringRules
License: GPL-2 | GPL-3
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2018-10-12 07:51:05 UTC; nik
Author: Nikolaus Umlauf [aut, cre],
  Nadja Klein [aut],
  Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>),
  Meike Koehler [aut],
  Thorsten Simon [ctb],
  Stanislaus Stadlmann [ctb]
Maintainer: Nikolaus Umlauf <Nikolaus.Umlauf@uibk.ac.at>
Repository: CRAN
Date/Publication: 2018-10-12 08:40:03 UTC